20 search results - page 2 / 4 » Associative hierarchical CRFs for object class image segment... |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
ECCV
2010
Springer
14 years 27 days ago
2010
Springer
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
PAMI
2007
13 years 7 months ago
2007
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...